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    School of Computing Science Researcher Provides New Data on Artificial Intellige nce (Seeing Beyond Noise: Improving Cryptocurrency Forecasting with Linear Bias Correction)

    63-64页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New study results on artificial intell igence have been published. According to newsreporting from Khyber Pakhtunkhwa, Pakistan, by NewsRx journalists, research stated, “Cryptocurrencyis recognized as a leading digital currency by its peer-to-peer transfer capabilities and sec ure features.”Financial supporters for this research include Prince Sultan University.

    School of Computing Science Researcher Provides New Data on Artificial Intellige nce (Seeing Beyond Noise: Improving Cryptocurrency Forecasting with Linear Bias Correction)

    63-64页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New study results on artificial intell igence have been published. According to newsreporting from Khyber Pakhtunkhwa, Pakistan, by NewsRx journalists, research stated, “Cryptocurrencyis recognized as a leading digital currency by its peer-to-peer transfer capabilities and sec ure features.”Financial supporters for this research include Prince Sultan University.

    University of the Witwatersrand Researchers Add New Findings in the Area of Mach ine Learning (The application of transfer machine learning to predict and impute missing sulphate levels in different Acid Mine Drainage treatment plants)

    64-65页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on artificial intelligenc e is the subject of a new report. According tonews reporting out of Johannesbur g, South Africa, by NewsRx editors, research stated, “An accuratelypre-trained stacking ensemble machine learning regressor was used to predict sulphate levels in two otherAcid Mine Drainage (AMD) treatment plants using Transfer Learning (TL).”

    University of the Witwatersrand Researchers Add New Findings in the Area of Mach ine Learning (The application of transfer machine learning to predict and impute missing sulphate levels in different Acid Mine Drainage treatment plants)

    64-65页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on artificial intelligenc e is the subject of a new report. According tonews reporting out of Johannesbur g, South Africa, by NewsRx editors, research stated, “An accuratelypre-trained stacking ensemble machine learning regressor was used to predict sulphate levels in two otherAcid Mine Drainage (AMD) treatment plants using Transfer Learning (TL).”

    Mayo Clinic Reports Findings in Artificial Intelligence (Brow lift practice in r eceding hairlines: A retrospective comparison of brow lift techniques)

    65-66页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Artificial Intelligenc e is the subject of a report. According to newsreporting originating from Roche ster, Minnesota, by NewsRx correspondents, research stated, “Assessingfacial ae sthetic surgery outcomes often relies on expert opinion, which inherently introd uces bias.This study examined the use of artificial intelligence to objectively compare novel and standard brow lifttechniques.”

    Mayo Clinic Reports Findings in Artificial Intelligence (Brow lift practice in r eceding hairlines: A retrospective comparison of brow lift techniques)

    65-66页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Artificial Intelligenc e is the subject of a report. According to newsreporting originating from Roche ster, Minnesota, by NewsRx correspondents, research stated, “Assessingfacial ae sthetic surgery outcomes often relies on expert opinion, which inherently introd uces bias.This study examined the use of artificial intelligence to objectively compare novel and standard brow lifttechniques.”

    Researchers from Pukyong National University Publish Findings in Machine Learnin g (Spatial Gap-Filling of Himawari-8 Hourly AOD Products Using Machine Learning with Model-Based AOD and Meteorological Data: A Focus on the Korean Peninsula)

    66-67页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Research findings on artificial intell igence are discussed in a new report. Accordingto news originating from Busan, South Korea, by NewsRx correspondents, research stated, “Given thecomplex spati otemporal variability of aerosols, high-frequency satellite observations are ess ential foraccurately mapping their distribution.”

    Researchers from Pukyong National University Publish Findings in Machine Learnin g (Spatial Gap-Filling of Himawari-8 Hourly AOD Products Using Machine Learning with Model-Based AOD and Meteorological Data: A Focus on the Korean Peninsula)

    66-67页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Research findings on artificial intell igence are discussed in a new report. Accordingto news originating from Busan, South Korea, by NewsRx correspondents, research stated, “Given thecomplex spati otemporal variability of aerosols, high-frequency satellite observations are ess ential foraccurately mapping their distribution.”

    New Machine Learning Study Findings Reported from Dong-Eui University (Assessing Hwa-byung Vulnerability Using the Hwabyung Personality Scale: a comparative st udy of machine learning approaches)

    67-68页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators discuss new findings in artificial intelligence. According to news reportingfrom Busan, South Korea, by NewsRx journalists, research stated, “To develop and compare machinelearning m odels to classify individuals vulnerable to Hwa-byung (HB) using an existing HB personalityscale and to evaluate the efficacy of these models in predicting HB vulnerability. We analyzed data from500 Korean adults (aged 19-44) using HB per sonality and symptom scales.”

    New Machine Learning Study Findings Reported from Dong-Eui University (Assessing Hwa-byung Vulnerability Using the Hwabyung Personality Scale: a comparative st udy of machine learning approaches)

    67-68页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators discuss new findings in artificial intelligence. According to news reportingfrom Busan, South Korea, by NewsRx journalists, research stated, “To develop and compare machinelearning m odels to classify individuals vulnerable to Hwa-byung (HB) using an existing HB personalityscale and to evaluate the efficacy of these models in predicting HB vulnerability. We analyzed data from500 Korean adults (aged 19-44) using HB per sonality and symptom scales.”